class_docstr: A linear value function (baseline) based on features.
  
  Args:
      env_spec (garage.envs.env_spec.EnvSpec): Environment specification.
      reg_coeff (float): Regularization coefficient.
      name (str): Name of baseline.
code: def __init__(
      self, env_spec, reg_coeff=1e-5, name="LinearFeatureBaseline"
  ):
      del env_spec
      self._coeffs = None
      self._reg_coeff = reg_coeff
      self.name = name
      self.lower_bound = -10
      self.upper_bound = 10
  
file_path: garage/src/garage/np/baselines/linear_feature_baseline.py
imports: import numpy
  from garage.np.baselines.baseline import Baseline
label_desc: Use image node_id 1 to create a new LinearFeatureBaseline object from inherited base classes: Baseline with example: obj = LinearFeatureBaseline(env_spec, reg_coeff, name)